Exploiting Attention to Reveal Shortcomings in Memory Models

The decision making processes of deep networks are difficult to understand and while their accuracy often improves with increased architectural complexity, so too does their opacity. Practical use of machine learning models, especially for question and answering applications, demands a system that is interpretable... (read more)

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METHOD TYPE
Memory Network
Working Memory Models